水利水电科技进展2016，Vol.36Issue(3)：1-4,4.DOI:10.3880/j.issn.1006-7647.2016.03.001
水文学与“大数据”
Hydrology and big data
摘要
Abstract
The characteristics and advantages of the big data method are discussed in this paper. In the method, mathematical formulas are replaced by intensive data in order to precisely describe the temporal and spatial variation of hydrological phenomena or the solution of a differential equation. The reasons why hydrology needs big data and technical support for obtaining hydrological big data are also discussed. The big data method may inspire the innovation of scientific thinking and become a way of solving complex problems in hydrology.关键词
大数据/水文学/还原论/空间分布/无人机遥感Key words
big data/hydrology/reductionism/spatial distribution/UAV remote sensing分类
天文与地球科学引用本文复制引用
芮孝芳..水文学与“大数据”[J].水利水电科技进展,2016,36(3):1-4,4.基金项目
国家自然科学重点基金(41430855) （41430855）
